Title :
Estimation-based adaptive backstepping designs for linear systems
Author :
M. Krstic;P.V. Kokotovic
Author_Institution :
Dept. of Mech. Eng., Maryland Univ., College Park, MD, USA
Abstract :
The authors previously introduced a class of adaptive nonlinear controllers which abandon the certainty equivalence principle and employ the backstepping approach with tuning functions. In this paper the authors introduce estimation-based designs which use a linear backstepping controller combined with two types of identifiers-the passive identifier and the swapping identifier. The linear backstepping controller can guarantee stability and performance without adaptation. This is an advantage of the estimation-based designs in this paper over the traditional ones.
Keywords :
"Backstepping","Linear systems","Adaptive control","Programmable control","Filters","State estimation","Stability","Mechanical engineering","Educational institutions","Force control"
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.479217